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Amazon EMR vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
4.8
Amazon EMR offers cost savings and ROI benefits, with some users experiencing up to 20% cost reduction and high returns.
Sentiment score
6.9
Users report significant ROI from OpenText Analytics Database due to enhanced analytics, performance, and data accessibility, despite its cost.
 

Customer Service

Sentiment score
7.9
Amazon EMR customer service varies, with generally responsive support despite reported delays and occasional gaps in integration assistance.
Sentiment score
7.0
OpenText Analytics Database customer service is praised for knowledgeable support, though some users report slow response and escalation needs.
I would rate the technical support from Amazon as ten out of ten.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
We get all call support, screen sharing support, and immediate support, so there are no problems.
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
Lead AWS Data Engineer at Fission Labs
 

Scalability Issues

Sentiment score
7.4
Amazon EMR efficiently scales for businesses, offering customizable cluster options to manage diverse data sizes and enterprise demands.
Sentiment score
7.1
OpenText Analytics Database (Vertica) excels at scaling large data volumes but faces challenges with schema modifications and node additions.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Lead AWS Data Engineer at Fission Labs
 

Stability Issues

Sentiment score
7.7
Amazon EMR is praised for stability and reliability, with high ratings due to its configurability and robust features.
Sentiment score
7.1
OpenText Analytics Database (Vertica) is stable and robust, with minor query and network issues noted by users.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
Lead AWS Data Engineer at Fission Labs
 

Room For Improvement

Amazon EMR users face challenges with customization, stability, onboarding, cost optimization, task speed, and demand enhanced integration and security.
OpenText Analytics Database needs better workload management, documentation, SQL optimization, cloud support, machine learning, and cost efficiency.
The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
Lead AWS Data Engineer at Fission Labs
 

Setup Cost

Amazon EMR pricing is variable, potentially costly, but users can manage expenses with strategic resource and instance management.
OpenText Analytics Database offers flexible pricing based on storage, with competitive costs, community edition, and negotiable licensing options.
Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.
Lead AWS Data Engineer at Fission Labs
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
 

Valuable Features

Amazon EMR offers scalable, cost-effective big data management with integration, flexibility, security, and seamless Hadoop and Spark processing.
OpenText Analytics Database offers rapid data processing, scalability, ease of use, and cost efficiency with advanced analytics capabilities.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
Lead AWS Data Engineer at Fission Labs
Amazon EMR provides out-of-the-box solutions with Spark and Hive.
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
We are using it to clean the data and transform the data in such a way that the end-user can get the insights faster.
Senior Technical Engineer at a transportation company with 5,001-10,000 employees
 

Categories and Ranking

Amazon EMR
Ranking in Cloud Data Warehouse
13th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
25
Ranking in other categories
Hadoop (3rd)
OpenText Analytics Database...
Ranking in Cloud Data Warehouse
12th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (10th)
 

Mindshare comparison

As of January 2026, in the Cloud Data Warehouse category, the mindshare of Amazon EMR is 3.4%, up from 3.1% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.1%, up from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
OpenText Analytics Database (Vertica)6.1%
Amazon EMR3.4%
Other90.5%
Cloud Data Warehouse
 

Featured Reviews

reviewer1343079 - PeerSpot reviewer
Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees
Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility
I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.
T Venkatesh - PeerSpot reviewer
Deputy Manager at ICICIBANK Ltd
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Educational Organization
13%
Computer Software Company
7%
Healthcare Company
7%
Financial Services Firm
18%
Computer Software Company
14%
Manufacturing Company
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise5
Large Enterprise12
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise38
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon EMR?
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
What needs improvement with Amazon EMR?
I feel some lack of functionality in Amazon EMR. I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
What advice do you have for others considering Amazon EMR?
I find it easy to integrate Amazon EMR with other AWS services like S3 or EC2 for data processing needs. I would rate this review as eight out of ten.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Also Known As

Amazon Elastic MapReduce
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Yelp
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Amazon EMR vs. OpenText Analytics Database (Vertica) and other solutions. Updated: December 2025.
880,315 professionals have used our research since 2012.